本網站使用瀏覽器紀錄 (Cookies) 來提供您最好的使用體驗，我們使用的 Cookie 也包括了第三方 Cookie。相關資訊請訪問我們的隱私權與 Cookie 政策。如果您選擇繼續瀏覽或關閉這個提示，便表示您已接受我們的網站使用條款。 關閉
Intelligent data infrastructure powered by the new AFF A-Series with integrated data services turbocharges AI and simplifies every workload at scaleSINGAPORE - Media OutReach Newswire - 15 May 2024 - NetApp® (NASDAQ: NTAP), the intelligent data infrastructure company, today announced new leading AFF A-Series systems that can power the most demanding IT workloads customers face, including GenAI, VMware, and enterprise databases. NetApp also released expanded capabilities across its portfolio to help customers operate more efficiently as they leverage their data to drive innovation. In the AI era, organizations are feeling pressure to accelerate innovation, unlock new customer experiences, outsmart cyber threats, and gain ever greater productivity. Many organizations see AI as a critical tool to help them achieve those goals. According to the 2024 NetApp Cloud Complexity report, organizations realize that achieving business success with AI hinges on two critical factors, data (74%) and IT infrastructure (71%). With today's announcements, NetApp is helping organizations excel at both factors and drive competitive success by offering innovative intelligent data infrastructure that empowers customers to unlock the value of their data with AI. The new NetApp AFF A-Series systems continue NetApp's leadership in unified data storage for the next generation of workloads. Leveraging the same technology relied upon by the top three public clouds, the NetApp AFF A-Series eliminates storage silos and storage complexity, providing powerful, intelligent, and secure storage to accelerate and optimize every workload. This includes integrated capabilities to optimize VMware storage costs today and provide unmatched flexibility for the future. "Data is undeniably the most valuable asset for any company to outpace its competitors. Whether it's mission critical applications or leveraging enterprise data to fuel AI, the data infrastructure a company chooses to run it on makes all the difference," said Sandeep Singh, Senior Vice President and General Manager of Enterprise Storage at NetApp. "NetApp's extensive, unified data storage portfolio, from on-premises to the public clouds, makes it the go-to solution for enterprises looking to have the robustness for the most demanding workloads. The introduction of the new AFF A-Series Systems is a testament to our unwavering commitment to delivering the most powerful, intelligent, and secure enterprise storage in the industry." "It is increasingly crucial for organizations in Asia Pacific to harness the power of data to overcome economic headwinds and accelerate business transformation," said You Qinghong, Solutions Engineering Lead, Greater China, ASEAN and South Korea, NetApp. "Backed by over 30 years of expertise in enterprise storage, we are expanding our portfolio today with the new AFF A-Series systems to help organizations to protect their mission-critical apps, unlock the value of their data and drive successful business outcomes." New AFF A-Series Systems to Accelerate Business Technology Operations With the introduction of new, more-powerful AFF A-Series all-flash storage systems, NetApp is continuing its commitment to innovation with unified data storage systems designed for any data, any app, and any cloud. The new AFF A-Series storage systems easily power the most demanding workloads—from existing mission-critical apps to GenAI workloads that will drive success into the future. These new systems are the NetApp AFF A1K, AFF A90, and AFF A70, which can turbo-charge enterprise workloads by delivering: Up to 2x better performance with unmatched 40 million IOPs, 1 TB/s throughput Proven 99.9999% data availability Leading raw-to-effective capacity, including always-on data reduction and 4:1 Storage Efficiency Guarantee Integrated real-time ransomware detection designed for 99%+ accuracy and Ransomware Recovery Guarantee NetApp's unified data storage supports block, file and object storage protocols and natively integrates with the three largest public cloud providers, allowing customers to consolidate workloads, lower cost of data, and operate without silos. Powered by NetApp ONTAP®, these systems deliver the simplicity and reliability tens of thousands of organizations have come to expect from NetApp. "As we've ramped up our investments in AI projects to help accelerate our business, we needed to grow our data infrastructure to deliver ever greater performance for those workloads," Christian Klie, Tribe Cluster Lead at T-Systems. "We rely on intelligent data infrastructure delivered by NetApp to power our most critical workloads, and the increased power of the new AFF A-Series systems, paired with their integrated anti-ransomware features and hybrid cloud capabilities, will help position us for success now and in the future." "AI is creating the biggest business transformation opportunity we've seen in decades, allowing enterprises to unlock new sources of value from their data," said Justin Hotard, Executive Vice President and general manager, Data Center and AI Group at Intel. "NetApp AFF A-Series systems utilizing Intel Xeon processors provide the performance and features to help businesses accelerate their enterprise AI adoption." Providing Powerful, Intelligent and Secure Enterprise Data Infrastructure To continue its innovation as the intelligent data infrastructure company, NetApp released additional capabilities to provide customers with the advanced data management, industry-leading ransomware protection, and cloud integration that modern workloads like GenAI demand. The new features and capabilities in NetApp's data management and integrated services include: New StorageGRID Models: NetApp has introduced six new StorageGRID models that enhance the value of large, unstructured data while reducing total cost of ownership. StorageGRID can now leverage capacity flash to provide fast object access times at the lowest cost. Customers can experience a new level of flexibility, choice, performance, and sustainability for critical object workloads with new models that offer a very competitive price per GB, up to a 3X performance increase, 80 percent footprint reduction, and power consumption savings as high as 70 percent. Cyber Vault Reference Architecture: NetApp announced a new cyber vault reference architecture that extends the company's industry-leading data protection capabilities. Combining the latest advances in secure data storage, autonomous real-time ransomware detection, and rapid data restoration, NetApp's secure and resilient cyber vault delivers "logically air-gapped" storage based on proven NetApp ONTAP technology, for unparalleled protection of customer data against advanced cyber-threats. SnapMirror Active Sync: The latest version of ONTAP includes SnapMirror active sync which creates a symmetric active-active business continuity solution across two data centers. Coupled with VMware vSphere Metro Storage Cluster (vMSC) and enterprise databases from Oracle, SAP, and Microsoft, SnapMirror active sync enables ongoing business operations with no disruption during a data center outage. FlexCache with Writeback: The updated version of ONTAP also includes FlexCache with Writeback which creates local copies of data for distributed teams, resulting in reduced latency and uninterrupted access while reducing administrative overhead. The local copies can read and write data, granting local teams greater control while maintaining data consistency with the core data center. NetApp AIPod with Lenovo: NetApp and Lenovo are collaborating on a new converged infrastructure solution designed for retrieval-augmented generation (RAG) and inferencing use cases for GenAI, with Lenovo high-performance ThinkSystem servers utilizing NVIDIA L40S GPUs, NVIDIA Spectrum-X networking, and NetApp AFF storage, all validated with the NVIDIA OVX architecture specifications. BlueXP Classification: This AI/ML-driven service is now available as a BlueXP core capability at no additional charge, giving users immediate access to the ability to automatically classify, categorize, and tag data across the entire data estate to deepen data intelligence, enhancing efforts in governance, security, and compliance while enabling strategic workloads such as GenAI. With BlueXP classification, customers can now fuel GenAI and RAG innovation through the AIOps ability to securely and programmatically augment pre-trained models with auto-classified, proprietary data on demand for enhanced relevancy without sacrificing cost or data security. "AI is a massive opportunity for companies to leverage their data in new ways to unlock competitive advantages," Ashish Nadkarni, Group Vice President and General Manager, Infrastructure Systems, Platforms and Technologies and BuyerView Research at IDC. "However, as the AI market develops, how organizations approach AI may change. They need storage infrastructure that gives them the flexibility to combine their on-premises data storage with cloud environments. NetApp's strategy of delivering powerful unified data storage that works with any data protocol, in any environment, to run any workload gives its customers the power and flexibility they need to face whatever challenges come their way." Additional Resources Unified Data Storage for the AI Era Embrace the AI Era with the New NetApp AFF A-Series Storage Systems The Leader in Object Storage Just Keeps Getting Better with New StorageGRID Systems and Capacity Flash NetApp AFF A-Series: High-Performing Unified Storage ONTAP: Data Management Software for a Better Hybrid Cloud Experience StorageGRID: Smart, Fast, Future-Proof Object Storage Hashtag: #NetApp #DataStorage #AIhttps://www.netapp.com/https://www.linkedin.com/company/netapp/https://twitter.com/netappThe issuer is solely responsible for the content of this announcement.About NetAppNetApp is the intelligent data infrastructure company, combining unified data storage, integrated data services, and CloudOps solutions to turn a world of disruption into opportunity for every customer. NetApp creates silo-free infrastructure, harnessing observability and AI to enable the industry's best data management. As the only enterprise-grade storage service natively embedded in the world's biggest clouds, our data storage delivers seamless flexibility. In addition, our data services create a data advantage through superior cyber resilience, governance, and application agility. Our CloudOps solutions provide continuous optimization of performance and efficiency through observability and AI. No matter the data type, workload, or environment, with NetApp you can transform your data infrastructure to realize your business possibilities. Learn more at www.netapp.com or follow us on X, LinkedIn, Facebook, and Instagram. NETAPP, the NETAPP logo, and the marks listed at www.netapp.com/TM are trademarks of NetApp, Inc. Other company and product names may be trademarks of their respective owners.
BEIJING, March 8, 2024 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it is researching a blockchain optimized data storage model based on Extreme Learning Machine (ELM) sharding. ELM is a machine learning algorithm based on artificial neural networks. The core idea of ELM is to initialize the connection weights between the input layer to the hidden layer randomly. Then through parsing, the connection weights between the output layer to the hidden layer are quickly calculated, and a simple and efficient neural network model is constructed by randomly generating the input weights and the bias of the hidden layer neurons. Compared with traditional neural network algorithms, ELM is characterized by fast training speed and strong generalization ability. Whereas sharding is a method of splitting data into multiple segments in a blockchain system, each of which can be processed and stored independently, sharding improves the performance of the blockchain system. The ELM-based sharding blockchain data storage model divides the blockchain network into multiple shards, each of which needs to store and process only part of the blockchain's data. Specifically, each slice only needs to store and verify the blocks and transaction data associated with it, without storing a full copy of the entire blockchain. This can greatly reduce storage requirements, lower storage costs, and improve the efficiency and performance of data synchronization. In this model, each slice can use ELM as its local storage and computation unit. ELM is an efficient machine learning algorithm with fast training and prediction capabilities. Each slice can use ELM to store and process its own blockchain data without relying on other slices or full nodes. This increases the efficiency of data storage and processing and reduces the dependency on full nodes. Specifically, it is first necessary to split the original blockchain data into multiple segments and store these segments on different nodes, thus realizing the distributed management of data storage as well as achieving parallel processing of data. Each node only needs to store the sharding data it is responsible for, which greatly reduces the storage pressure of nodes. Each shard can be managed by one or more ELM nodes. ELM nodes use ELM algorithms to train and process the data. ELM is a fast and efficient machine learning algorithm that can process and analyze large amounts of data in a short period of time. Each ELM node can independently process and store the data sharding it is responsible for. This sharding technology improves the parallel processing of data, thus increasing the performance of the entire blockchain system. At the same time, since each node only needs to manage a portion of the data, it can reduce the cost of data storage and processing. In addition, the ELM-based sharding technology can also provide higher data privacy and security. Since the data is partitioned into multiple segments and managed by different ELM nodes, even if one node is attacked or the data is leaked, it will not have an impact on the data integrity of the whole system. The ELM-based sharding blockchain data storage model researched by WiMi can solve the problems of storage capacity and transaction speed faced by the traditional blockchain data storage model, reduce the storage cost, improve the efficiency and performance of data synchronization, and provide a more efficient way of data management and access to further improve the performance and scalability of the blockchain system. This model is of great significance in the application of blockchain technology and data storage models. About WIMI Hologram Cloud WIMI Hologram Cloud, Inc. (NASDAQ:WIMI) is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies. Safe Harbor Statements This press release contains "forward-looking statements" within the Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as "will,""expects,""anticipates,""future,""intends,""plans,""believes,""estimates," and similar statements. Statements that are not historical facts, including statements about the Company's beliefs and expectations, are forward-looking statements. Among other things, the business outlook and quotations from management in this press release and the Company's strategic and operational plans contain forward−looking statements. The Company may also make written or oral forward−looking statements in its periodic reports to the US Securities and Exchange Commission ("SEC") on Forms 20−F and 6−K, in its annual report to shareholders, in press releases, and other written materials, and in oral statements made by its officers, directors or employees to third parties. Forward-looking statements involve inherent risks and uncertainties. Several factors could cause actual results to differ materially from those contained in any forward−looking statement, including but not limited to the following: the Company's goals and strategies; the Company's future business development, financial condition, and results of operations; the expected growth of the AR holographic industry; and the Company's expectations regarding demand for and market acceptance of its products and services. Further information regarding these and other risks is included in the Company's annual report on Form 20-F and the current report on Form 6-K and other documents filed with the SEC. All information provided in this press release is as of the date of this press release. The Company does not undertake any obligation to update any forward-looking statement except as required under applicable laws.
BARCELONA, Spain, Feb. 29, 2024 /PRNewswire/ -- The Huawei Product and Solution Launch was held successfully at MWC Barcelona 2024. Dr. Peter Zhou, President of Huawei IT Product Line, launched three innovative solutions aimed at helping carriers worldwide build leading data infrastructure in the AI era: AI data lake solution, all-scenario data protection solution, and DCS full-stack data center solution. The rapid development of large AI models is unleashing the value of data assets and paving the way for an era of data awakening. There are two major challenges in data infrastructure construction in the AI era. First, to extract knowledge from data, independent and scattered data sources must be aggregated in AI data factories to mine value from the data. This sets high requirements for data mobility. Second, data assetization is growing at a rapid pace. The average retention time of annotated AI data and model data is now more than three years, and some valuable corpus data needs to be permanently stored. To address these challenges, Huawei has launched a series of innovative storage products and solutions to help carriers build leading data infrastructure in the AI era. AI data lake solution for transferring mass data to valuable assets: This solution includes Data Management Engine (DME), a one-stop knowledge generation tool chain (eDataMate), data fabric, and the AI storage solutions OceanStor A800 and OceanStor A310. It makes AI training data globally visible, manageable, and available, and improves data collection, preprocessing, and training efficiency. In particular, OceanStor A800, a next-gen high-performance NAS storage solution, is a robust AI storage power foundation with a data and control plane separation architecture, the OceanFS high-performance parallel file system, flexible bidirectional expansion, and other capabilities, all designed to support real-time hyper-cluster scheduling. All-scenario data protection solution for data production, backup, and archiving that boosts the resilience of data assets: This solution uses two layers of collaborative deployment. The first layer is production-backup collaboration, backing massive numbers of small files up 90% faster than conventional solutions. It also supports real-time native-format data analytics. Then is the backup-archive collaboration. Its post-deduplication tiering feature reduces bandwidth consumption by 80%. Additionally, Huawei launched the OceanProtect E8000 and X9000 data backup appliance solutions and next-gen OceanStor Arctic magneto-electric storage solution that is designed for warm and cold data at the event. The magneto-electric storage solution is predicted to reduce TCO by 20% than tapes and power consumption by 90% than HDDs. DCS full-stack data center solution for helping carriers achieve higher IT service efficiency and agility: This full-stack solution, built on virtualization and containers, covers data collection, storage, computing, management, and usage, delivering comprehensive infrastructure as a service (IaaS) and platform as a service (PaaS). Dr. Zhou said that AI is prompting a data awakening, which is accelerating the data assetization process. Huawei Data Storage will remain committed to providing storage solutions for all scenarios, to help carriers build leading data infrastructure in the AI era.
SEOUL, South Korea, Feb. 28, 2024 /PRNewswire/ -- Hitachi LG Data Storage, SK hynix's global distributor has recently unveiled the 'Tube T31,' a novel USB stick-type SSD, in Japan and Korea. This innovative product aims to alleviate the storage constraints of gaming devices like PlayStation 5 and Xbox. The Tube T31 features a sleek and lightweight design, making it suitable for a variety of devices including gaming consoles, PCs, laptops, and smart TVs. With an impressive transfer rate of 10Gbps and sequential read and write speeds of up to 1,000MB/s, it meets the demands of avid gamers. Tube T31 Following its favorable reception in Japan and Korea, Hitachi LG Data Storage is preparing for a global launch of the Tube T31, with a special spring promotion targeted at console gaming enthusiasts worldwide. The promotion is tailored specifically for customers in 10 countries, including the US, Canada, Mexico, UK, Germany, France, Italy, Spain, Australia, and Singapore. Tube T31 is a lifesaver for those who constantly struggle with storage space for their cherished gaming albums. With Tube T31, console users can simply connect, swiftly install their favorite gaming albums, and dive right into the action. But that's not all. The Tube T31 is also an excellent companion for PlayStation 5 users. It allows them to play their favorite PlayStation 4 games stored on the thumb drive. Thanks to its fast speed and superior thermal management, PlayStation 5 gamers can enjoy a smooth, uninterrupted PlayStation 4 gameplay. About Hitachi LG Data Storage Inc. Hitachi LG Data Storage, a collaborative business entity between Hitachi and LG Electronics, is dedicated to developing top-notch storage devices and automotive in-cabin components. As the authorized manufacturing partner and global distributor of SK hynix SSDs, Hitachi LG Data Storage ensures the highest quality standards and reliable delivery to customers worldwide. Hitachi LG Data Storage is currently seeking to partner with regional distributors globally to expand its market reach. Interested parties may contact us via email.
SEOUL, South Korea, Feb. 6, 2024 /PRNewswire/ -- Hitachi LG Data Storage (HLDS) announced the appointment of new CEO and CFO; At the inauguration ceremony on January 5, 2024, Hayata Makoto who previously held the position of CFO, was appointed as the new CEO, and Kang Jae Wook took on the role of the new CFO. Hitachi LG Data Storage (HLDS), a global joint venture between Hitachi and LG Electronics, has dominated the data storage industry for over 23 years. Known for its world-class Optical Disc Drives (ODDs), HLDS is now expanding its business domain to include Solid State Drives (SSDs), showcasing its commitment to continued innovation in the industry. The expansion is expected to boost the company's revenue while providing customers with a wider range of storage solutions. CEO Hayata graduated from Waseda University's Department of Political Economy in 1985, and he embarked on his career at Hitachi. His previous roles include leading the Industries Audit Office at Hitachi Connective Industries Business Headquarters and gaining valuable experience at Hitachi's Chinese subsidiary. With a solid track record of leadership within the company, he has assumed the role of CEO to highlight his expertise in both management and business. CFO Kang Jae Wook, graduated from Kyungpook National University with a major in Accounting, brings over 20 years of extensive experience in overseas finance to his new role at HLDS. His career includes serving as CFO of LG Electronics in Japan, Chile, Colombia, and Brazil. With his diverse background and leadership experience, Kang is well-prepared to contribute to the growth of HLDS in the global market. CEO Hayata and CFO Kang expressed their commitment. "As we continue to explore new markets, innovate with cutting-edge technologies, and enhance our product quality, we remain dedicated to growing as a sustainable global company that evolves alongside our valued customers." they said. Brief Profile Hayata Makoto, President & CEO 2024.01 – Present CEO of Hitachi LG Data Storage, Inc 2023.04 – 2024.01 CFO of Hitachi LG Data Storage, Inc 2020.04 – 2023.03 Hitachi, Ltd. Head of Industries Audit Office, Connective Industries Business General Headquarters 2018.04 – 2020.03 Hitachi, Ltd. Director of Sales and Management Division of the Financial Supervisory Headquarters 2014.04 – 2018.03 Hitachi, Ltd. Director of Financial Process Solutions. Finance General Headquarters Kang Jae Wook, President & CFO 2024.01 – Present CFO of Hitachi LG Data Storage, Inc 2018.10 – 2023.04 CFO of LG Electronics Japan 2016.02 – 2018.09 LG Electronics Ethics Management / Team Leader 2003.12 – 2016.01 CFO of LG Electronics (Chile, Colombia, and Brazil), 2002.03 – 2003.11 LG Electronics Digital Display & Media Overseas Planning Group 1997.03 – 2002.02 CFO of LG Electronics Japan
SEOUL, South Korea, Jan. 22, 2024 /PRNewswire/ -- January 22, Hitachi-LG Data Storage Inc., SK hynix's global distributor and manufacturing partner, is set to launch the new "Haechi H01" heat sink designed specifically for the PlayStation 5. This innovative heat sink aims to maximize the cooling performance of the high-performance P41 internal SSD, developed by SK hynix. H01 HEATSINK To promote the product, Hitachi-LG Data Storage is planning a global Amazon promotion starting on January 22 and ending on February 4 in 9 countries: the US, Canada, Mexico, UK, Germany, France, Italy, Spain, and Australia. The Haechi H01 heat sink is crafted using advanced CNC machining technology and is designed as a single piece. It boasts a heat dissipation area approximately 2.3 times larger than that of a standard M.2 SSD heat sink. The bottom of the heat sink features Thermal Interface Material (TIM), resistant to deformation caused by heat and stress, thereby enhancing the product's durability. Hitachi-LG Data Storage Inc. has emphasized that the H01 Heatsink is tailored for high-performance gaming and can maintain stable performance by balancing fast speed and heat generation. Additionally, Hitachi LG Data Storage plans to introduce a PlayStation 5 Slim-specific M.2 SSD heat sink from SK hynix in the near future. About Hitachi-LG Data Storage Inc. Hitachi-LG Data Storage, a collaborative business entity between Hitachi and LG Electronics, is dedicated to developing top-notch storage devices and automotive in-cabin components. As the authorized manufacturing partner and global distributor of SK hynix SSDs, Hitachi-LG Data Storage ensures the highest quality standards and reliable delivery to customers worldwide.
A12 藝術空間
Data Storage
請先登入後才能發佈新聞。
還不是會員嗎？立即 加入台灣產經新聞網會員 ，使用免費新聞發佈服務。 （服務項目） （投稿規範）
